1. Elasticsearch: The Definitive Guide (2015)
Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application.
Author(s): Clinton Gormley, Zachary Tong
2. Elasticsearch in Action (2015)
Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You’ll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you’ll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you’ll go on to gain an organized view of how to optimize your design.
Author(s): Radu Gheorghe, Matthew Lee Hinman
3. Learning Elastic Stack 6.0: A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana (2017)
The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about…
Author(s): Pranav Shukla, Sharath Kumar M N
4. Learning Elasticsearch: Structured and unstructured data using distributed real-time search and analytics (2017)
Author(s): Abhishek Andhavarapu
5. Elasticsearch Essentials (2016)
With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world’s most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.
Author(s): Bharvi Dixit
6. Designing Data-Intensive Applications (2017)
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
Author(s): Martin Kleppmann
7. Elasticsearch: A Complete Guide (2017)
You’ll start with the very basics: Elasticsearch terminology, installation, and configuring Elasticsearch. After this, you’ll take a look at analytics and indexing, search, and querying. You’ll learn how to create maps and visualizations. You’ll also be briefed on cluster scaling, search and bulk operations, backups, and security. Then you’ll be ready to get into Elasticsearch’s internal functionalities including caches, Apache Lucene library, and its monitoring capabilities.
Author(s): Bharvi Dixit, Rafal Kuc
8. Applied ELK Stack (2017)
Use the ELK (Elasticsearch, Logstash, and Kibana) stack to build systems that provide actionable insights and business metrics from data sources, including creating amazing visualizations and dashboards. Learn how to set up the ELK stack, build a data pipeline, and create customized plugins. Applied ELK Stack will teach you to configure the software, install tools, and build a data pipeline. You will learn the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins.
Author(s): Gurpreet S. Sachdeva
9. Elasticsearch: Your Complete Guide (2018)
Who will provide the final approval of Elasticsearch deliverables? What is our formula for success in Elasticsearch ? Meeting the challenge: are missed Elasticsearch opportunities costing us money? What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Elasticsearch? Have all basic functions of Elasticsearch been defined? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role…
Author(s): Gerardus Blokdyk
10. Mastering Elasticsearch 5.x (2017)
Author(s): Bharvi Dixit
Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You’ll learn how to apply Elasticsearch or Solr to your business’s unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating…
Author(s): Doug Turnbull, John Berryman
12. Elasticsearch 5.x Cookbook – Third Edition (2017)
Author(s): Alberto Paro